Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
Nat Biotechnol. 2004 Nov;22(11):1467-73.

Promoter prediction analysis on the whole human genome.

Author information

  • 1Institute for Infocomm Research, 21 Heng Mui Keng Terrace, 119613 Singapore. bajicv@i2r.a-star.edu.sg

Abstract

Promoter prediction programs (PPPs) are important for in silico gene discovery without support from expressed sequence tag (EST)/cDNA/mRNA sequences, in the analysis of gene regulation and in genome annotation. Contrary to previous expectations, a comprehensive analysis of PPPs reveals that no program simultaneously achieves sensitivity and a positive predictive value >65%. PPP performances deduced from a limited number of chromosomes or smaller data sets do not hold when evaluated at the level of the whole genome, with serious inaccuracy of predictions for non-CpG-island-related promoters. Some PPPs even perform worse than, or close to, pure random guessing.

PMID:
15529174
[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Nature Publishing Group
    Loading ...
    Write to the Help Desk